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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

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The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
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相关实验视频

Updated: Jan 10, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA

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基因组区域意识到非编码变异优先级的CADD值.

Jude-Félix Tenywa1,2, Jean-Baptiste Lamouche1,2, Sarah Baer2

  • 1Unité Fonctionnelle de Bioinformatique Médicale appliquée au diagnostic (UF7363), Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg,France.

NAR genomics and bioinformatics
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概括
此摘要是机器生成的。

基因变异分析正在通过新的工具得到改进. 使用联合注释依赖枯竭 (CADD) 分数与特定区域的值有助于优先考虑用于遗传疾病诊断的非编码变体.

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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相关实验视频

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 医学遗传学 医学遗传学

背景情况:

  • 基因组测序的进步发现了许多非编码变体.
  • 由于有限的in silico工具和功能测试,优先考虑这些变体是具有挑战性的.
  • 临床解释需要强大的方法来进行变异分析.

研究的目的:

  • 评估联合注释依赖枯竭 (CADD) 评分对优先考虑遗传变异的有用性.
  • 评估非编码变体的区域特定CADD得分值的有效性.
  • 通过改进变异优先级来帮助遗传学家诊断遗传疾病.

主要方法:

  • 整基因组分析包括CADD得分.
  • 使用ClinVar数据库进行变种分类数据.
  • 开发和评估基因组区域特定的CADD得分门.

主要成果:

  • 在CADD得分是一个高效的工具,用于全基因组变异预测和优先级.
  • 特定区域的门提高了非编码变体的优先级.
  • 这种方法有助于识别临床相关的遗传变异.

结论:

  • 对于优先考虑非编码变体来说,CADD得分,特别是具有特定区域的值,是非常有价值的.
  • 这种方法支持遗传学家更有效地诊断遗传疾病.
  • 改进的变异分析有助于推进基因组医学.